Trustworthy and Responsible AI-Centric Test Engineering

Divisions:

Division of Computer Science and Software Engineering
Division of Networked and Embedded Systems

Research Groups:

Formal Modelling and Analysis of Embedded Systems
Software Testing Laboratory

Status:

active

Start date:

2025-07-01

End date:

2026-06-30

Url:

https://www.software-center.se/research-themes/technology-themes/continuous-and-automated-quality-assurance/

Software testing is, in general, a notoriously expensive and effort-intensive process. The integration of artificial intelligence (AI) and machine learning (ML) into the software testing and analysis processes offers a transformative approach to optimizing test case design, selection, execution, and maintenance. 

AI and ML can be used to automate or support activities throughout the testing process, including the creation of new test cases, extension or maintenance of existing test cases, detection and re-creation of anomalies,  analysis of system logs, suggestions on how to improve test suite quality, and prioritization of tests to execute in CI/CD pipelines. 

The goal of this project is to explore, investigate, implement, and evaluate a trustworthy, human-centric AI-driven testing process. Our vision is that such a process:

  • Uses AI and ML to augment, rather than replace, developers. 

  • Enables developers to make effective, data-driven decisions during testing. 

Offers trustworthy, repeatable, and explainable results.

First NameLast NameTitle
Eduard Paul Enoiu Associate Professor
Jean Malm Doctoral student
Alexandru Cusmaru
Gregory Gay

Eduard Paul Enoiu, Associate Professor

Email: eduard.paul.enoiu@mdh.se
Room: U1-138
Phone: